Why enterprises are replacing generic AI with tools that know their users

The future of AI isn’t just agentic; it’s deep personalization. Rather than simple recommender systems that correlate user behavior to identify patterns and apply those to individual workflows, large language models (LLMs) and AI agents can analyze users directly to create deeply personalized experiences. It’s this kind of aggressive customization users are increasingly demanding — and the savviest enterprises who provide it (and soon) will win. The goal is: “Don't try to randomize, or guess who I am. I tell you, this is what I care about,” Lijuan Qin, head of product, at Zoom AI, explains in a new Beyond the Pilot podcast. How Zoom is incorporating personalizationZoom is one company that has adapted to this trend: Its generative assistant, AI Companion, goes beyond basic summarization, smart recordings, and after-meeting action items to opinion divergence and user alignment tracking. Users can customize meeting summaries based on their specific interests, and create targeted temp